Using trapezoidal intuitionistic fuzzy number to find optimized path in a network
type: Item
instance of: scholarly article
title: Using trapezoidal intuitionistic fuzzy number to find optimized path in a network
zbMATH Open document ID: 1323.90072
DOI: 10.1155/2014/183607
author: P. Jayagowri
author: G. Geetha Ramani
published in: Advances in Fuzzy Systems
publication date: 2015-11-02T00:00:00Z
review text: Summary: In real life, information available on situations/issues/problems is vague, inexact, or insufficient and so the parameters involved therein are grasped in an uncertain way by the decision maker. But in real life such uncertainty is unavoidable. One possible way out is to consider the knowledge of experts about the parameters involved as fuzzy data. In a network, the arc length may represent time or cost. In Relevant literature reports there are several methods to solve such problems in network-flow. This paper proposes an optimized path for use in networks, using trapezoidal intuitionistic fuzzy numbers, assigned to each arc length in a fuzzy environment. It proposes a new algorithm to find the optimized path and implied distance from source node to destination node.
Mathematics Subject Classification ID: 90C35
Mathematics Subject Classification ID: 90C70
zbMATH DE Number: 6502875
Wikidata QID: Q59044038
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/183607
OpenAlex ID: W2027207999
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DBLP publication ID: journals/afs/JayagowriG14
description: scientific article; zbMATH DE number 6502875